SeesawPred: A Web Application for Predicting Cell-fate Determinants in Cell Differentiation.

ABSTRACT: Cellular differentiation is a complex process where a less specialized cell evolves into a more specialized cell. Despite the increasing research effort, identification of cell-fate determinants (transcription factors (TFs) determining cell fates during differentiation) still remains a challenge, especially when closely related cell types from a common progenitor are considered. Here, we develop SeesawPred, a web application that, based on a gene regulatory network (GRN) model of cell differentiation, can computationally predict cell-fate determinants from transcriptomics data. Unlike previous approaches, it allows the user to upload gene expression data and does not rely on pre-compiled reference data sets, enabling its application to novel differentiation systems. SeesawPred correctly pr

SUBMITTER: Hartmann A 

PROVIDER: S-EPMC6127256 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature